by: Becky Lawlor

Every B2B brand invests in original research hoping it will earn attention, build authority, and drive demand. But too often, the final report lands with little impact, generating far less engagement, conversation, or business value than expected. 

After producing more than 50 survey-based reports for B2B tech companies, I’ve had a front-row seat to the full range of outcomes. I’ve seen reports that have: 

• Generated 80+ media mentions
• Directly influenced dozens of sales and generated hundreds of thousands in revenue 
• Increased engagement by 200% or increased leads by 2-3x other content campaigns

But I’ve also seen reports that have failed to generate meaningful traction or ROI. 

Many marketers assume the success of a research report comes down to promotion, distribution, or budget. In reality, the reports that perform best are usually shaped by decisions made much earlier in the process. 

Here are four lessons I’ve learned on what separates reports that drive authority, pipeline, and PR, from the ones that don’t.

Lesson 1: Great research starts with a strong thesis 

Many research initiatives jump straight into survey design without first defining the strategic narrative behind the report. The result is often disconnected data points rather than insights that tell a compelling story.

The strongest reports start with a clear hypothesis: a perspective the brand holds about the market, a customer challenge, or an emerging industry shift based on what they’ve observed firsthand. The survey then becomes the mechanism for testing that hypothesis and turning it into a credible, data-backed point of view.

Before writing a single survey question, I push clients to answer three things that help uncover the report’s core narrative and point of view. 

1. What does your brand believe about where the market is heading? 
2. What tension or gap do buyers feel but can’t yet articulate? 
3. What would surprise your audience if the data confirmed it?

Those questions often determine whether the final report feels like a meaningful market perspective or simply a collection of interesting data points. For instance, one leading executive search firm we worked with had published two annual industry reports that they described as “meh” at best. Unfortunately, the engagement results reflected that as well. 

The problem wasn’t the topic. It was that the research had been built around collecting information rather than advancing a clear point of view.

When we built the next research report around a more defined hypothesis and belief — that an organization’s level of AI readiness would increasingly determine its competitive advantage, and that many companies lacked the leadership talent to get there — the research became a story, not just a dataset.

Buyers could immediately understand both why the argument mattered and where they stood in relation to their peers. The report gave them a framework for evaluating their own AI readiness journey, backed by evidence rather than opinion. The result was a 66% increase in page views and a 189% jump in unique users year over year.

Lesson 2: Good questions reveal behavior, not just opinions

One of the most common (and expensive) survey mistakes I see is over-reliance on self-assessment and scaled questions, such as “On a scale of 1–5, how mature is your AI strategy?” Companies tend to overestimate their maturity, underestimate their risk, and give answers that sound better than what’s really happening. 

The problem is that these types of questions rarely create an interesting story. A couple of years ago, a B2B marketing team came to me after investing tens of thousands of dollars into an industry survey. They wanted help turning the findings into a flagship report, but when I reviewed the data, I discovered that nearly every question relied on yes/no responses or 1–5 rating scales, and most respondents had selected a 4 or 5. There was no tension, contrast, or unexpected insight — and therefore no real story to tell. 

Behavior-based questions almost always produce stronger insight because they measure what people actually do, not just how they perceive themselves.

For example, instead of asking:

“How confident are you in your organization’s AI readiness?”

Ask something like:
“Which of the following capabilities has your organization implemented in the past 12 months?”

• Formal AI usage policies
• Employee AI training programs
• Internal AI governance committee
• Dedicated AI budget
• AI tools integrated into core workflows
• No formal AI initiatives in place

Now you have findings that clearly show what they’re able to do or not and can become not only an interesting story but strong headlines for PR and overall engagement.

That leads to a simple test I use before finalizing any survey question: flip the likely answer into a headline. Would anyone care about it?

“Most companies rate their AI readiness a 4 out of 5” isn’t especially compelling.

But “75% of companies using AI company-wide still have no formal AI governance policy” definitely is.

That’s the kind of finding that earns attention, drives industry conversation, and helps establish a brand as a credible voice in the market. 

Lesson 3: Segmentation is where the real insights live

The initial survey data is rarely where the most interesting stories are found. The deeper insights often come from analyzing how different groups — by company size, industry, maturity, job function, or behavior — respond to the same questions. Once you start segmenting the data, patterns emerge that aren’t visible in the aggregate responses alone. 

For example, aggregate results may suggest that most companies are struggling with employee retention. But segmentation may reveal that organizations with the highest retention rates share a handful of behaviors — like stronger manager training, clearer career paths, or more frequent employee feedback loops — that other companies lack. 

Instead of simply describing what’s happening in the market, segmentation helps buyers understand where they fit within it. 

Going back to the executive search firm example, segmentation became a critical part of strengthening the report’s AI readiness narrative. By building an AI readiness maturity model that categorized organizations based on how advanced their AI leadership, hiring strategies, and operational readiness were, buyers were able to use the benchmarking framework to evaluate themselves against peers in their industry.

The firm later turned the research into an interactive assessment that let prospects calculate their own AI readiness score against the report benchmarks. That experience created far more engagement than a static report alone because it gave buyers a way to personally connect themselves to the findings and see exactly where they stood in relation to the rest of the market.

Lesson 4: One survey can fuel a year’s worth of content

When a survey is designed with repurposing in mind it becomes the foundation for an entire year’s worth of content. The best research programs support multiple channels at once, including:

• Earned media: PR outreach, contributed articles, podcast appearances, and speaking opportunities
• Owned channels: Blogs, webinars, newsletters, social campaigns, and SEO content clusters
• Paid campaigns: Proprietary data and benchmarks that make ads and landing pages more credible and engaging

PrimePay, an HR and payroll platform, used original research to fuel reports, webinars, blogs, social campaigns, and SEO-focused content clusters throughout the year. One report became the company’s second-highest-performing content asset and generated nearly 1,600 downloads through organic and paid distribution efforts. The research also became the foundation for one of PrimePay’s most-watched webinars.

Original research can also open doors that traditional content often can’t. Industrial Physics used original research to secure several prestigious speaking engagements that they had previously been unable to land because they now had something unique and credible to contribute to the conversation.

That long-tail value is one of the biggest advantages of original research.

The strongest reports don’t function as one-off campaigns. They become reusable sources of authority, insights, and proprietary data that marketing, sales, PR, and leadership teams can continue drawing from for months.

“It’s just one of those types of content that just keeps on giving… I keep coming up with new ideas all the time.” — Rachel Wolff, prior Content Manager at Lokalise

There’s also an emerging AI visibility angle worth noting. As AI search shifts from keyword rankings toward synthesized answers with cited sources, original research is becoming one of the most defensible content investments a B2B brand can make. One recent analysis found that content featuring original statistics and research saw 30–40% higher AI visibility. 

What the best B2B research reports have in common

What separates the best research reports from the ones that fall flat is usually the quality of the thinking behind them: a strong point of view, questions designed to uncover valuable insights, deeper analysis that surfaces meaningful patterns, and a narrative built around insights that genuinely matter to the market.

That’s what earns media coverage, drives industry conversation, supports sales and marketing efforts, and increasingly, creates visibility in AI-driven search. 

The brands that succeed with original research are the ones that treat it not as another lead magnet, but as an opportunity to contribute something genuinely valuable to the market. ■

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Becky Lawlor is the founder of Redpoint Insights, a B2B research firm specializing in custom survey-based research for technology companies. Becky has led more than 50 original research initiatives for B2B brands focused on building market authority, media visibility, and demand generation through proprietary insights. Learn more at https://redpointinsights.com/ or connect with Becky on LinkedIn.